Multimodal seizure detection: A review

Frans S. S. Leijten

doi:10.1111/epi.14047

journal article Jun 01, 2018

Multimodal seizure detection: A review

Frans S. S. Leijten

Epilepsia Vol. 59 No. S1 pp. 42-47 · Wiley

View at Publisher Save 10.1111/epi.14047

Abstract

SummaryA review is given on the combined use of multiple modalities in non electroencephalography (EEG)‐based detection of motor seizures in children and adults. A literature search of papers was done on multimodal seizure detection with extraction of data on type of modalities, study design and algorithm, sensitivity, false detection rate, and seizure types. Evidence of superiority was sought for using multiple instead of single modalities. Seven papers were found from 2010 to 2017, mostly using contact sensors such as accelerometers (n = 5), electromyography (n = 2), heart rate (n = 2), electrodermal activity (n = 1), and oximetry (n = 1). Remote sensors included video, radar, movement, and sound. All studies but one were in‐hospital, with video‐EEG as a gold standard. Algorithms were based on physiology and supervised machine learning, but did not always include a separate test dataset. Sensitivity ranged from 4% to 100% and false detection rate from 0.25 to 20 per 8 hours. Tonic–clonic seizure detection performed best. False detections tended to be restricted to a minority (16%‐30%) of patients. Use of multiple sensors increased sensitivity; false detections decreased in one study, but increased in another.These preliminary studies suggest that detection of tonic–clonic seizures might be feasible, but larger field studies are required under more rigorous design that precludes bias. Generic algorithms probably suffice for the majority of patients.

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Metrics

68

Citations

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References

Details

Published: Jun 01, 2018
Vol/Issue: 59(S1)
Pages: 42-47
License: View

Authors

F

Frans S. S. Leijten

Department of Neurology Brain Center Rudolf Magnus University Medical Center Utrecht Utrecht The Netherlands

Funding

National Science Foundation Award: 300040003

Cite This Article

Frans S. S. Leijten (2018). Multimodal seizure detection: A review. Epilepsia, 59(S1), 42-47. https://doi.org/10.1111/epi.14047

Multimodal seizure detection: A review

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